Building Resilience in Global Tourism: A Theoretical and Empirical Analysis of Indicators for Sustainable Development

MakaleYalnız künye
  • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
  • SDG 9 · Sanayi, Yenilikçilik ve Altyapı

Özet

The primary perspective of this study is the global tourism industry (GTI) as an interconnected supply chain network, encompassing both tourism firms (e.g., hotels, airlines, and operators) and destinations (e.g., local communities and ecosystems). This industry-level focus allows for analyzing resilience indicators that bridge firm-specific capabilities with destination-wide vulnerabilities, rather than isolating one over the other. Using a mixed-method approach, this research conceptualizes resilience through various management theories. First, it identifies critical resilience indicators across institutional, societal, economic, and ecological dimensions. Second, these indicators are analyzed with a novel Spherical Fuzzy Interpretive Structural Modeling and Cross-Impact Matrix Multiplication Applied to Classification framework, utilizing expert opinions to uncover complex interdependencies among indicators. The findings of this study highlight that effective government policies, robust incentive mechanisms, advanced digital infrastructure, dynamic capabilities, and ecologically sustainable tourism practices are key drivers of resilience. However, socioeconomic impacts, tourist satisfaction, and price competitiveness emerge as highly dependent outcomes influenced by these drivers. This study also introduces the Adaptive Global-Local Interaction Theory, a new framework that integrates global influences with local realities to enhance tourism resilience. By offering a comprehensive framework and practical guidelines, this research equips policymakers and stakeholders with actionable strategies to bolster the industry's capacity to anticipate, adapt to, and recover from crises, promoting sustainable development amidst volatile global conditions.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/10592Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1002/sd.70794Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorErol, Ismail
dc.contributor.authorDogru, Tarik
dc.contributor.authorOztel, Ahmet
dc.contributor.authorBilgihan, Anil
dc.contributor.authorPeker, Iskender
dc.contributor.authorNeuhofer, Irem Onder
dc.date.accessioned2026-10-22T09:23:07.347202117Z
dc.date.available2026-10-22T09:23:07.347202117Z
dc.date.issued2026-10
dc.description.abstractThe primary perspective of this study is the global tourism industry (GTI) as an interconnected supply chain network, encompassing both tourism firms (e.g., hotels, airlines, and operators) and destinations (e.g., local communities and ecosystems). This industry-level focus allows for analyzing resilience indicators that bridge firm-specific capabilities with destination-wide vulnerabilities, rather than isolating one over the other. Using a mixed-method approach, this research conceptualizes resilience through various management theories. First, it identifies critical resilience indicators across institutional, societal, economic, and ecological dimensions. Second, these indicators are analyzed with a novel Spherical Fuzzy Interpretive Structural Modeling and Cross-Impact Matrix Multiplication Applied to Classification framework, utilizing expert opinions to uncover complex interdependencies among indicators. The findings of this study highlight that effective government policies, robust incentive mechanisms, advanced digital infrastructure, dynamic capabilities, and ecologically sustainable tourism practices are key drivers of resilience. However, socioeconomic impacts, tourist satisfaction, and price competitiveness emerge as highly dependent outcomes influenced by these drivers. This study also introduces the Adaptive Global-Local Interaction Theory, a new framework that integrates global influences with local realities to enhance tourism resilience. By offering a comprehensive framework and practical guidelines, this research equips policymakers and stakeholders with actionable strategies to bolster the industry's capacity to anticipate, adapt to, and recover from crises, promoting sustainable development amidst volatile global conditions.
dc.identifier.doi10.1002/sd.70794
dc.identifier.eissn1099-1719
dc.identifier.endpage8691
dc.identifier.issn0968-0802
dc.identifier.issue6
dc.identifier.scopus2-s2.0-105052706756
dc.identifier.startpage8656
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/10592
dc.identifier.volume34
dc.identifier.wosWOS:001690725200001
dc.language.isoen
dc.publisherWILEY
dc.relation.ispartofSUSTAINABLE DEVELOPMENT
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectfuzzy modeling
dc.subjectglobal tourism industry
dc.subjectresilience indicators
dc.subjectsustainability
dc.subjecttheory-based approach
dc.subject.classificationDevelopment Studies
dc.subject.classificationGreen & Sustainable Science & Technology
dc.subject.classificationRegional & Urban Planning
dc.subject.classificationScience & Technology - Other Topics
dc.subject.classificationPublic Administration
dc.subject.otherSUPPLY CHAIN RESILIENCE
dc.subject.otherDYNAMIC CAPABILITIES
dc.subject.otherSTRUCTURAL MODEL
dc.subject.otherFIRM RESOURCES
dc.subject.otherMANAGEMENT
dc.subject.otherFRAMEWORK
dc.subject.otherRECOVERY
dc.subject.otherSYSTEMS
dc.subject.otherISM
dc.titleBuilding Resilience in Global Tourism: A Theoretical and Empirical Analysis of Indicators for Sustainable Development
dc.typeArticle
dspace.entity.typePublication
rdl.citation.openalex2
rdl.citation.scopus0
rdl.citation.wos2
rdl.oa.statusclosed
rdl.sdgSDG09
rdl.sdgSDG08
rdl.source.indexWOS
rdl.source.indexSCOPUS
rdl.wos.indexSocial Science Citation Index (SSCI)